What you will do

- You will manage and support AWS infrastructure and troubleshoot issues across AWS Linux and Ubuntu environments.

- You will deploy and maintain applications using Docker, Kubernetes, and Helm.

- You will monitor Kubernetes workloads, pods, services, deployments, configurations, and troubleshoot failures.

- You will develop, maintain, and troubleshoot CI/CD pipelines using Jenkins and GitHub Actions, with code maintained in Bitbucket/GitHub/GitLab.

- You will automate application deployments, validations, rollbacks, and repetitive operational activities.

- You will monitor applications and infrastructure using Splunk, Dynatrace, Grafana, Prometheus, ELK, and CloudWatch.

- You will analyze logs, metrics, alerts, and performance data to identify issues proactively.

- I will follow Change, Release, Hot Fix, and ECRQ processes according to ITIL/ITSM standards.

- I will work with ServiceNow, Remedy, Jira, and Rally for incident, change, problem, and release tracking.

- I will troubleshoot MySQL/database-related issues and coordinate with database teams when deeper investigation is required.

- I will use Bash and Python to automate health checks, monitoring, log analysis, deployment activities, and operational tasks.

- I will troubleshoot Akamai traffic-routing issues and application connectivity problems.

- I will support Kafka and Axon API related issues, including message flow, connectivity, and application integration problems.





- I will apply Agentic AI where appropriate for log analysis, incident detection, deployment assistance, auto-remediation, and escalation.

What you know

- Cloud: AWS

- Containers: Dockers, Kubernetes, Helm

- Job / Scheduler time-based scheduling: Crontab

- CICD: Jenkins, Bit bucket, Github Action

- ITIL/ITSM: Incident, Problem, Change, Release, Hot fix, ECRQ Management

- Certificate Renewal: Venafi / CerTIS

- Database: MySQL, SQL Developer

- Operating systems: AWS Linux Machine, Putty, Ubuntu

- Monitoring: Splunk, Dynatrace, Grafana, Prometheus, ELK, and Cloud-Watch

- Service Management Tool: Remedy, Jira, Service Now, Rally

- Version Control: Bit bucket, Github, Gitlab

- Scripting: Bash Shell, Python

- Traffic Routing: Akamai

- Publish/subscribe messaging: Apache Kafka, Axon API

- Visa Advanced Authorization (AI-powered) Real-time fraud scoring for card transactions.

- MasterCard Decision Intelligence – AI-based fraud detection integrated into payment networks

- Stripe Radar – AI fraud prevention for online payments, practical for digital on boarding and secure checkout

- Copilot -CI/CD pipeline scripting, Kubernetes YAML generation, and cloud resource configuration, documentation and automation.

Agentic AI - Deployments, monitor logs, auto-remediate incidents, and escalate issues. Role & responsibilities

Preferred candidate profile

📌 Site Reliability Engineer (Hyderabad)
🏢 Nisum
📍 Hyderabad